Senior Analytics Engineer – GTM

Motive

. Drive the GTM data roadmap to build scalable, durable data products .

Posted 9/24/2026full-timeRemote • CanadaSenior💰 CA$156,000 - CA$205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data engineering and analytics, with a strong focus on data modeling, data warehouse design, and building scalable data products. Proficient in SQL and familiar with AI tooling for data, ensuring effective communication and collaboration across teams.

Highest-signal resume keywords

Data EngineeringData ModelingSQL ExpertiseSalesforce Data Model KnowledgeAI Tooling for Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData AnalyticsData Warehouse DesignSQLData ModelingColumnar Analytics DatabasesBusiness Intelligence ToolsAI ToolingSemantic ModelsContext Management Systems

Soft Skills

Attention to DetailSelf-Project ManagementWritten CommunicationVerbal CommunicationStakeholder Engagement

Tools & Technologies

SnowflakeBigQueryDbtGitHex

Industry Keywords

GTM MetricsSales OperationsSales CompensationFinance TeamsU.S. Export Administration Regulations

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Drive the GTM data roadmap to build scalable, durable data products
Build and maintain key data pipelines and marts powering company-wide GTM metrics, including headcount, quota attainment, and pipeline
Build reliable dashboards tracking core metrics and delivering insights across the company
Collaborate with GTM analyst teams to train and enable them on datasets and data tools
Write documentation and tutorials
Work across the full analytics stack, from ad hoc analysis and reports to architecting pipelines
Build semantic models and run evaluations to power AI tools that let sales operators query business data in natural language
Use AI-assisted development tools while keeping code, models, and documentation clean and maintainable
Communicate complex data concepts through technical specifications, dashboards, and presentations to align teams on metrics and definitions
Report to the Director of Business Intelligence as part of a centralized global analytics and data engineering team

Requirements

What you’ll need

7+ years experience in data engineering, data analytics, or analytics engineering
Deep expertise in data modeling and data warehouse design
Expert-level SQL skills
Experience with columnar analytics databases such as Snowflake and BigQuery
Expert-level knowledge of Salesforce’s data model and other GTM systems
Experience with dbt and Git
Experience with business intelligence tools; direct Hex experience is a bonus
Experience working with sales, sales operations, sales compensation, and finance teams
Experience building with AI tooling for data, including semantic models, context management systems, and evals
Exceptional attention to detail
Ability to self-project-manage work
Exceptional written and verbal communication skills
Comfortable speaking with business executives and engineers and translating between the two groups at IC and senior stakeholder level
Must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations

Benefits

Comp & perks

Health, pharmacy, optical and dental care benefits
Paid time off
Sick time off
Short-term and long-term disability coverage
Life insurance
401k contribution
Restricted stock units may be included in total compensation for certain roles